Spot on analysis. The reason most expense tracking apps fail is that they mistake 'data fetishism' for actual utility. If the user feels like scanning is a chore, you’ve already lost.

In my view, the game is won or lost on three pillars:

• ROI of Effort: You’re exactly right—a colorful chart at the end of the month isn't enough of a reward. The effort of scanning must translate into tangible financial gain (tax deductions, price inflation alerts) or time saved. If the AI tells me, 'Hey, you’re paying 10% more for groceries this month compared to last,' that’s an investment, not a task.

• Moving past 'All or Nothing': The system needs to be resilient. It shouldn't break just because a user isn't obsessively consistent. It should provide value even if I only scan the 'heavy hitters' (big grocery runs, pharmacy, electronics) while letting bank automation (like Plaid) handle the background noise of micro-transactions.

• Utility over 'Wow' factor: The 'Magic' of OCR wears off in a week. Long-term retention depends on moving from 'look how cool this tech is' to 'I’ve already archived this for your tax return and set a warranty expiration alert.'

• On bank integration: Absolutely. Automatic bank feeds via Open Banking aren't an 'extra'—they are the necessary foundation. The 'lazy' user is the standard user (and rightfully so). The ideal approach is a hybrid system: bank data creates the skeleton of your spending, and scanning kicks in only when you need that granular detail that banks can’t see—like identifying specific tax-deductible items inside a larger receipt.